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Tauchen Sie ein in die Datenwissenschaft: Verwenden Sie Python, um Ihre schwierigste geschäftliche Herausforderung zu meistern...-
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eBay-Artikelnr.:364393777785
Artikelmerkmale
- Artikelzustand
- Book Title
- Dive into Data Science : Use Python to Tackle Your Toughest Busin
- ISBN
- 9781718502888
- Subject Area
- Computers, Business & Economics
- Publication Name
- Dive Into Data Science : Use Python to Tackle Your Toughest Business Challenges
- Publisher
- No Starch Press, Incorporated
- Item Length
- 9.2 in
- Subject
- Data Visualization, Economics / General, Databases / Data Mining, Statistics
- Publication Year
- 2023
- Type
- Textbook
- Format
- Trade Paperback
- Language
- English
- Item Height
- 0.7 in
- Item Weight
- 19.8 Oz
- Item Width
- 7 in
- Number of Pages
- 288 Pages
Über dieses Produkt
Product Identifiers
Publisher
No Starch Press, Incorporated
ISBN-10
1718502885
ISBN-13
9781718502888
eBay Product ID (ePID)
7057291848
Product Key Features
Number of Pages
288 Pages
Publication Name
Dive Into Data Science : Use Python to Tackle Your Toughest Business Challenges
Language
English
Subject
Data Visualization, Economics / General, Databases / Data Mining, Statistics
Publication Year
2023
Type
Textbook
Subject Area
Computers, Business & Economics
Format
Trade Paperback
Dimensions
Item Height
0.7 in
Item Weight
19.8 Oz
Item Length
9.2 in
Item Width
7 in
Additional Product Features
Intended Audience
Trade
LCCN
2022-051900
Dewey Edition
23
Reviews
" Dive Into Data Science is a book every budding data analyst will want. Tuckfield covers the field with nuance and insight to show you what you can do and lead you to new ground. . . . If you have any interest in data science you'll find this book a welcomed joy and refer to it for years to come." --David S. Mazel, Principal/Manager Systems Engineer, Regulus-Group, " Dive Into Data Science is a book every budding data analyst will want. Tuckfield covers the field with nuance and insight to show you what you can do and lead you to new ground. . . . If you have any interest in data science you'll find this book a welcomed joy and refer to it for years to come." --David S. Mazel, Principal/Manager Systems Engineer, Regulus-Group "I highly recommend this book as your introduction to Data Science. You'll use the most important Python data science packages, work with real data, and learn how to visualize and analyze data in ways that today's data scientists do. The trick to writing an introductory Data Science book is to land on the right balance between 'now watch what this magical line of Python code does' and 'here's what's happening and what this approach is good for'. I think Dr. Tuckfield has done it." --Dr. Daniel Zingaro, Associate Professor of Computer Science at UT Mississauga and author of Algorithmic Thinking and Learn to Code by Solving Problems, "Strikes a nice balance of explaining fundamental data science concepts and theories, while also equipping readers with hands-on practice with Python. . . . definitely a good place to start data science." --Ben Dickson, TechTalks " Dive Into Data Science is a book every budding data analyst will want. Tuckfield covers the field with nuance and insight to show you what you can do and lead you to new ground. . . . If you have any interest in data science you'll find this book a welcomed joy and refer to it for years to come." --David S. Mazel, Principal/Manager Systems Engineer, Regulus-Group "Another nice learning resource for newbie data scientists." --Daniel D. Gutierrez, Editor-in-Chief, insideBIGDATA "I highly recommend this book . . . The trick to writing an introductory Data Science book is to land on the right balance between 'now watch what this magical line of Python code does' and 'here's what's happening and what this approach is good for'. I think Dr. Tuckfield has done it." --Dr. Daniel Zingaro, author of Algorithmic Thinking and Learn to Code by Solving Problems " Dive Into Data Science is a concise, accessible guide that demystifies the essential tools and techniques used by data scientists, allowing anyone with a basic understanding of programming to explore and analyze data like a pro." --Allen B. Downey, Staff Producer at Brilliant and author of Elements of Data Science and Modeling and Simulation in Python "Comprehensive and thoroughly 'user friendly' in in organization and presentation, [ Dive Into Data Science ] is the ideal instructional reference guide to utilizing Python as a basic and essential part of doing business in today's increasing complex, competitive, and digital world . . . . a highly recommended addition to personal, professional, community, corporate, college, and university library Computer Programming & Business Management collections and supplemental MBA curriculum studies lists." --Midwest Book Review, "Strikes a nice balance of explaining fundamental data science concepts and theories, while also equipping readers with hands-on practice with Python. . . . definitely a good place to start data science." --Ben Dickson, TechTalks " Dive Into Data Science is a book every budding data analyst will want. Tuckfield covers the field with nuance and insight to show you what you can do and lead you to new ground. . . . If you have any interest in data science you'll find this book a welcomed joy and refer to it for years to come." --David S. Mazel, Principal/Manager Systems Engineer, Regulus-Group "I highly recommend this book as your introduction to Data Science. You'll use the most important Python data science packages, work with real data, and learn how to visualize and analyze data in ways that today's data scientists do. The trick to writing an introductory Data Science book is to land on the right balance between 'now watch what this magical line of Python code does' and 'here's what's happening and what this approach is good for'. I think Dr. Tuckfield has done it." --Dr. Daniel Zingaro, Associate Professor of Computer Science at UT Mississauga and author of Algorithmic Thinking and Learn to Code by Solving Problems " Dive Into Data Science is a concise, accessible guide that demystifies the essential tools and techniques used by data scientists, allowing anyone with a basic understanding of programming to explore and analyze data like a pro." --Allen B. Downey, Staff Producer at Brilliant and author of Elements of Data Science and Modeling and Simulation in Python, "Strikes a nice balance of explaining fundamental data science concepts and theories, while also equipping readers with hands-on practice with Python. . . . definitely a good place to start data science." --Ben Dickson, TechTalks " Dive Into Data Science is a book every budding data analyst will want. Tuckfield covers the field with nuance and insight to show you what you can do and lead you to new ground. . . . If you have any interest in data science you'll find this book a welcomed joy and refer to it for years to come." --David S. Mazel, Principal/Manager Systems Engineer, Regulus-Group "Another nice learning resource for newbie data scientists." --Daniel D. Gutierrez, Editor-in-Chief, insideBIGDATA "I highly recommend this book . . . The trick to writing an introductory Data Science book is to land on the right balance between 'now watch what this magical line of Python code does' and 'here's what's happening and what this approach is good for'. I think Dr. Tuckfield has done it." --Dr. Daniel Zingaro, author of Algorithmic Thinking and Learn to Code by Solving Problems " Dive Into Data Science is a concise, accessible guide that demystifies the essential tools and techniques used by data scientists, allowing anyone with a basic understanding of programming to explore and analyze data like a pro." --Allen B. Downey, Staff Producer at Brilliant and author of Elements of Data Science and Modeling and Simulation in Python
Illustrated
Yes
Dewey Decimal
658.40120285
Table Of Content
Acknowledgments Introduction Chapter 1: Exploratory Data Analysis Chapter 2: Forecasting Chapter 3: Group Comparisons Chapter 4: A/B Testing Chapter 5: Binary Classification Chapter 6: Supervised Learning Chapter 7: Unsupervised Learning Chapter 8: Web Scraping Chapter 9: Recommendation Systems Chapter 10: Natural Language Processing Chapter 11: Data Science in Other Languages Index
Synopsis
Learn how to use data science and Python to solve everyday business problems. Dive into the exciting world of data science with this practical introduction. Packed with essential skills and useful examples, Dive Into Data Science will show you how to obtain, analyze, and visualize data so you can leverage its power to solve common business challenges. With only a basic understanding of Python and high school math, you'll be able to effortlessly work through the book and start implementing data science in your day-to-day work. From improving a bike sharing company to extracting data from websites and creating recommendation systems, you'll discover how to find and use data-driven solutions to make business decisions. Topics covered include conducting exploratory data analysis, running A/B tests, performing binary classification using logistic regression models, and using machine learning algorithms. You'll also learn how to- Forecast consumer demand Optimize marketing campaigns Reduce customer attrition Predict website traffic Build recommendation systems With this practical guide at your fingertips, harness the power of programming, mathematical theory, and good old common sense to find data-driven solutions that make a difference. Don't wait; dive right in!, Dive into the exciting world of data science with this practical introduction. Packed with essential skills and useful examples, Dive into Data Science will show you how to obtain, analyze, and visualize data so you can leverage its power to solve common business challenges. With only a basic understanding of Python and high school math, you'll be able to effortlessly work through the book and start implementing data science in your day-to-day work. From improving a bike sharing company to extracting data from websites and creating recommendation systems, you'll discover how to find and use data-driven solutions to make business decisions. Topics covered include conducting exploratory data analysis, running A/B tests, performing binary classification using logistic regression models, and using machine learning algorithms. You'll also learn how to: Forecast consumer demand, Optimize marketing campaigns, Reduce customer attrition, Predict website traffic, Build recommendation systems, With this practical guide at your fingertips, harness the power of programming, mathematical theory, and good old common sense to find data-driven solutions that make a difference. Don't wait; dive right in!
LC Classification Number
HD30.28
ebay_catalog_id
4
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Rechtliche Informationen des Verkäufers
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eBay-Artikelnr.:364393777785
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